Google DeepMind introduces the AI co-clinician initiative, envisioning AI agents that collaborate with physicians under clinical authority to deliver more…
Scientists at Mount Sinai developed a gene set foundation model that learns how genes behave across thousands of biological contexts,…
More than 173 AI-originated drug programs are in clinical development as of early 2026, with the first potential FDA approval…
Kordata Dynamics emerges from stealth with an AI platform that processes neural data to accelerate and improve precision clinical trials…
A deep learning model predicts aggressive liver cancer from CT scans across 3,100 patients, potentially replacing biopsies for treatment selection.
Researchers propose four pillars of embedded transparency to prevent AI bias from silently propagating through clinical trial infrastructure.
Transformer models outperform traditional methods in predicting antidepressant response from electronic health records, advancing precision psychiatry.
A new paradigm combines deep learning with symbolic reasoning to make medical AI safer, more transparent and clinically trustworthy.